International Journal of Learning and Intellectual Capital (5 papers in press)

Regular Issues

• Green intellectual capital and sustainable competitive advantage: the mediating role of green learning: a knowledge-based view with scientists perspectives  
  by Abhilasha Mer, Ajay Saini, Omdeep Gupta, Gauri Papapade 
  Abstract: This investigation utilises knowledge-based view (KBV) Theory to understand the relation between green intellectual capital (GIC) and sustainable competitive advantage (SCA) through the mediation of green learning (GL). This investigation uses 364 responses from scientific staff of research institutions from the north zone of India using a self-administered questionnaire. The relationship was analysed using SmartPLS. The findings suggest that there is a positive association between GIC and SCA, and their relationship is also mediated through GL. This research provides positive insights for research institutions, policymakers, academicians, and other stakeholders to employ green intellectual capital and green learning to achieve a sustainable competitive edge. The additional findings, suggestions, and recommendations may also be helpful for the stakeholders for reducing environmental harm and achieving their sustainability objectives. This research provides a novel insight into the connection between GIC, GL, and SCA among scientists in research institutions.
  Keywords: green intellectual capital; GIC; green learning; sustainable competitive advantage; SCA; knowledge-based view theory; scientists; research institutions.
  DOI: 10.1504/IJLIC.2025.10073999
   
  
• Determinants of intellectual capital in small and medium-sized enterprises: evidence from Khanh Hoa Province, Vietnam  
  by Tam Phan Huy 
  Abstract: This study examines the key factors influencing intellectual capital in small and medium-sized enterprises, with a specific focus on employee training and development, positive organisational culture, technological infrastructure, external networks and partnerships, and a favourable regulatory and institutional environment. Using a quantitative approach, data were collected from 364 small and medium-sized enterprises operating in Khanh Hoa province, Vietnam, and analysed using partial least squares structural equation modelling (PLS-SEM). The results confirm that employee training and external networks have the strongest impact on intellectual capital, while technological infrastructure also plays a significant role in supporting knowledge management and innovation. While organisational culture as an internal enabler and the regulatory environment as an external support both contribute to intellectual capital, their effects are relatively weaker compared with employee training, networks, and technological infrastructure. These findings suggest that SMEs should prioritise workforce development, strategic collaborations, and digital transformation to enhance their intellectual capital and sustain long-term competitiveness. The study contributes to the theoretical discourse on resource-based view, knowledge-based view, and dynamic capabilities theory, providing practical implications for business owners and policymakers.
  Keywords: intellectual capital; small and medium-sized enterprise; SMEs; structural equation modelling; SEM.
  DOI: 10.1504/IJLIC.2025.10074558
   
  
• An intellectual capital model for the development of digital transformation in Irans national transportation sector  
  by Ali Akbar Haddadi Harandi, Changiz Valmohammadi, Sahar Esmaeili 
  Abstract: Given various ongoing challenges in achieving digital integration, this study aims to develop a comprehensive intellectual capital (IC) model to support the digital transformation of Irans national transportation sector. To do so, through a detailed literature review, a conceptual model was developed, and a survey instrument was designed accordingly. Data were collected from 302 transportation experts and managers. The proposed IC model consists of four main components: informational, human, structural, and relational capital. Structural equation modeling (SEM) was used to validate the model. Among the components, Knowledge Management scored the highest (3.4 out of 5), followed by planning and processes (3.3). Whereas, transformational technologies and creativity and innovation showed the lowest readiness, with scores of 2.8 and 2.9 respectively. These findings highlight the need for improved competencies, higher innovation capacity, and advanced digital tools to enable effective digital transformation in the transportation sector.
  Keywords: intellectual capital; IC; informational capital; transformational technologies; transportation industry; COVID-19; Iran.
  DOI: 10.1504/IJLIC.2025.10074566
   
  
• Linking HRM practices, perceived justice, and job performance: insights from Vietnams logistics sector  
  by Huy Mach Tran, Nam Tien Duong 
  Abstract: Human resource management (HRM) encompasses the set of policies, practices, and systems implemented by organisations to influence employees attitudes, behaviours, and performance. For firms, adopting a strategic perspective on HRM is essential to maximise its effectiveness and enhance overall organisational outcomes. This study investigates how HRM practices influence job performance, with perceived justice examined as a moderating factor. The research was conducted among logistics companies in Vietnam, using a questionnaire survey for data collection. Findings indicate that higher levels of perceived justice, when aligned with positive employee relations, contribute to improved work efficiency, while stronger perceptions of interactional justice, coupled with well-structured compensation and benefits, foster greater work effectiveness.
  Keywords: HRM practices; logistics sector; employee; justice; performance.
  DOI: 10.1504/IJLIC.2025.10074580
   
  
• Do financial progress and economic prosperity matter for human development within the intellectual capital framework in Asia?  
  by Suman Dahiya, Bhushan Singh, Ishwar Singh Darji 
  Abstract: Investment in human capital produces a well-informed workforce that facilitates savings mobilisation into capital formation, further raising economic development. The current study explores how financial progress and economic growth contribute to human capital development in Asia using a pooled mean group estimation method on the data extracted from World Bank databases. The findings depict that economic prosperity and financial progress positively drive intellectual capital development by strengthening human assets in Asia. The study contributes to the existing literature, highlighting the role of macroeconomic factors in shaping human capital and offers policy measures suggesting the formulation of robust growth strategies that prioritise the upgrading of the education sector. Whereas the financial sector should adopt liberal credit policies to encourage private investment in human capital development infrastructure. Such a dual system can create a sustainable ecosystem for enhancing intellectual capital in Asia.
  Keywords: human capital; Asian economies; economic growth; financial development; pooled mean group estimation.
  DOI: 10.1504/IJLIC.2025.10075132